The traditional production planning and scheduling problems consider performance indicators like time, cost and quality as optimization objectives in manufacturing processes. However, environmentally-friendly factors ...The traditional production planning and scheduling problems consider performance indicators like time, cost and quality as optimization objectives in manufacturing processes. However, environmentally-friendly factors like energy consumption of production have not been completely taken into consideration. Against this background, this paper addresses an approach to modify a given schedule generated by a production plarming and scheduling system in a job shop floor, where machine tools can work at different cutting speeds. It can adjust the cutting speeds of the operations while keeping the original assignment and processing sequence of operations of each job fixed in order to obtain energy savings. First, the proposed approach, based on a mixed integer programming mathematical model, changes the total idle time of the given schedule to minimize energy consumption in the job shop floor while accepting the optimal solution of the scheduling objective, makespan. Then, a genetic-simulated annealing algorithm is used to explore the optimal solution due to the fact that the problem is strongly NP-hard. Finally, the effectiveness of the approach is performed small- and large-size instances, respectively. The experimental results show that the approach can save 5%-10% of the average energy consumption while accepting the optimal solution of the makespan in small-size instances. In addition, the average maximum energy saving ratio can reach to 13%. And it can save approximately 1%-4% of the average energy consumption and approximately 2.4% of the average maximum energy while accepting the near-optimal solution of the makespan in large-size instances. The proposed research provides an interesting point to explore an energy-aware schedule optimization for a traditional production planning and scheduling problem.展开更多
It is urgent to effectively improve the production efficiency in the running process of manufacturing systems through a new generation of information technology.According to the current growing trend of the internet o...It is urgent to effectively improve the production efficiency in the running process of manufacturing systems through a new generation of information technology.According to the current growing trend of the internet of things(IOT)in the manufacturing industry,aiming at the capacitor manufacturing plant,a multi-level architecture oriented to IOT-based manufacturing environment is established for a flexible flow-shop scheduling system.Next,according to multi-source manufacturing information driven in the manufacturing execution process,a scheduling optimization model based on the lot-streaming strategy is proposed under the framework.An improved distribution estimation algorithm is developed to obtain the optimal solution of the problem by balancing local search and global search.Finally,experiments are carried out and the results verify the feasibility and effectiveness of the proposed approach.展开更多
目的:探讨知-信-行模式产后干预管理对妊娠期糖尿病妇女产后糖尿病的影响。方法:选取100例妊娠期糖尿病病人为研究对象,分为观察组和对照组,观察两组病人的餐后2 h血糖(2 h PBG)、转铁蛋白、前清蛋白、空腹血糖、糖化血红蛋白(HbA1c)、...目的:探讨知-信-行模式产后干预管理对妊娠期糖尿病妇女产后糖尿病的影响。方法:选取100例妊娠期糖尿病病人为研究对象,分为观察组和对照组,观察两组病人的餐后2 h血糖(2 h PBG)、转铁蛋白、前清蛋白、空腹血糖、糖化血红蛋白(HbA1c)、体质指数、空腹胰岛素(FINS)等指标;观察病人产后6个月糖尿病检出率及自我行为管理情况、胰岛素抵抗指数(HOMA-IR)情况。结果:干预后观察组2 h PBG、HbA1c、空腹血糖、体质指数、转铁蛋白、前清蛋白均低于对照组,差异均有统计学意义(P<0.05);干预前两组自我行为管理情况比较,差异无统计学意义(P>0.05),出院后6个月两组病人自我行为管理评分差异有统计学意义(P<0.05)。出院前两组FINS和HOMA-IR评分差异无统计学意义(P>0.05),出院后两组FINS和HOMA-IR评分差异均有统计学意义(P<0.05)。两组产后6个月糖尿病发生率比较,差异有统计学意义(P<0.05)。结论:知-信-行模式产后干预管理可有效地减少妊娠期糖尿病的发生,并能很好地控制体质指数和提高营养水平,有效地促进妊娠病人的产后自我行为管理,促进血糖调节,从而改善胰腺机能的恢复。展开更多
以“草果”“菌”“病毒”“化学成分”“作用机制”“Amomum tsao-ko”“Antibacterial”“Antimicrobial”“Virus”“Chemical composition”“Mechanism”等为关键词,在中国知网、维普数据库、中国专利网、PubMed、Web of Science...以“草果”“菌”“病毒”“化学成分”“作用机制”“Amomum tsao-ko”“Antibacterial”“Antimicrobial”“Virus”“Chemical composition”“Mechanism”等为关键词,在中国知网、维普数据库、中国专利网、PubMed、Web of Science等数据库中组合查询到2011~2023年中的有效文献57篇,对草果抗菌物质基础、抗菌活性与机理、抗病毒活性等方面进行归纳与总结。表明草果具有广谱的抗微生物活性,对细菌、真菌和HSV-1病毒均具有不同程度的体外抑制作用和体内抗感染作用,其中挥发油、酚酸、黄酮及双环壬烷类为草果抗菌物质基础,作用机制主要表现为破坏细胞壁、细胞膜的完整性及抑制病原菌的呼吸代谢过程。但目前对草果抗微生物作用多局限于粗提物的体外抑制,体内各个药物组分之间的相互作用并不明确,且缺乏毒理学和药动学的相关研究,其安全性及药效物质基础尚需进一步深入探索。展开更多
基金Supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Program(Grant No.294931)National Science Foundation of China(Grant No.51175262)+1 种基金Jiangsu Provincial Science Foundation for Excellent Youths of China(Grant No.BK2012032)Jiangsu Provincial Industry-Academy-Research Grant of China(Grant No.BY201220116)
文摘The traditional production planning and scheduling problems consider performance indicators like time, cost and quality as optimization objectives in manufacturing processes. However, environmentally-friendly factors like energy consumption of production have not been completely taken into consideration. Against this background, this paper addresses an approach to modify a given schedule generated by a production plarming and scheduling system in a job shop floor, where machine tools can work at different cutting speeds. It can adjust the cutting speeds of the operations while keeping the original assignment and processing sequence of operations of each job fixed in order to obtain energy savings. First, the proposed approach, based on a mixed integer programming mathematical model, changes the total idle time of the given schedule to minimize energy consumption in the job shop floor while accepting the optimal solution of the scheduling objective, makespan. Then, a genetic-simulated annealing algorithm is used to explore the optimal solution due to the fact that the problem is strongly NP-hard. Finally, the effectiveness of the approach is performed small- and large-size instances, respectively. The experimental results show that the approach can save 5%-10% of the average energy consumption while accepting the optimal solution of the makespan in small-size instances. In addition, the average maximum energy saving ratio can reach to 13%. And it can save approximately 1%-4% of the average energy consumption and approximately 2.4% of the average maximum energy while accepting the near-optimal solution of the makespan in large-size instances. The proposed research provides an interesting point to explore an energy-aware schedule optimization for a traditional production planning and scheduling problem.
基金supported by the National Natural Science Foundations of China(No. 51875171)
文摘It is urgent to effectively improve the production efficiency in the running process of manufacturing systems through a new generation of information technology.According to the current growing trend of the internet of things(IOT)in the manufacturing industry,aiming at the capacitor manufacturing plant,a multi-level architecture oriented to IOT-based manufacturing environment is established for a flexible flow-shop scheduling system.Next,according to multi-source manufacturing information driven in the manufacturing execution process,a scheduling optimization model based on the lot-streaming strategy is proposed under the framework.An improved distribution estimation algorithm is developed to obtain the optimal solution of the problem by balancing local search and global search.Finally,experiments are carried out and the results verify the feasibility and effectiveness of the proposed approach.
文摘目的:探讨知-信-行模式产后干预管理对妊娠期糖尿病妇女产后糖尿病的影响。方法:选取100例妊娠期糖尿病病人为研究对象,分为观察组和对照组,观察两组病人的餐后2 h血糖(2 h PBG)、转铁蛋白、前清蛋白、空腹血糖、糖化血红蛋白(HbA1c)、体质指数、空腹胰岛素(FINS)等指标;观察病人产后6个月糖尿病检出率及自我行为管理情况、胰岛素抵抗指数(HOMA-IR)情况。结果:干预后观察组2 h PBG、HbA1c、空腹血糖、体质指数、转铁蛋白、前清蛋白均低于对照组,差异均有统计学意义(P<0.05);干预前两组自我行为管理情况比较,差异无统计学意义(P>0.05),出院后6个月两组病人自我行为管理评分差异有统计学意义(P<0.05)。出院前两组FINS和HOMA-IR评分差异无统计学意义(P>0.05),出院后两组FINS和HOMA-IR评分差异均有统计学意义(P<0.05)。两组产后6个月糖尿病发生率比较,差异有统计学意义(P<0.05)。结论:知-信-行模式产后干预管理可有效地减少妊娠期糖尿病的发生,并能很好地控制体质指数和提高营养水平,有效地促进妊娠病人的产后自我行为管理,促进血糖调节,从而改善胰腺机能的恢复。
文摘以“草果”“菌”“病毒”“化学成分”“作用机制”“Amomum tsao-ko”“Antibacterial”“Antimicrobial”“Virus”“Chemical composition”“Mechanism”等为关键词,在中国知网、维普数据库、中国专利网、PubMed、Web of Science等数据库中组合查询到2011~2023年中的有效文献57篇,对草果抗菌物质基础、抗菌活性与机理、抗病毒活性等方面进行归纳与总结。表明草果具有广谱的抗微生物活性,对细菌、真菌和HSV-1病毒均具有不同程度的体外抑制作用和体内抗感染作用,其中挥发油、酚酸、黄酮及双环壬烷类为草果抗菌物质基础,作用机制主要表现为破坏细胞壁、细胞膜的完整性及抑制病原菌的呼吸代谢过程。但目前对草果抗微生物作用多局限于粗提物的体外抑制,体内各个药物组分之间的相互作用并不明确,且缺乏毒理学和药动学的相关研究,其安全性及药效物质基础尚需进一步深入探索。
